Traditional chatbots
Traditional chatbots work with decision trees and predefined scripts.
When a user asks a question, the chatbot looks for a match in its question-answer database. If it doesn't find an exact match, it fails.
Advantages: - Simple to set up - Predictable - Good for basic FAQs
Disadvantages: - Fails at unexpected questions - Frustrating user experience - Unable to handle nuances - Constant script maintenance - No real dialogue
AI agents
AI agents use advanced language models (LLM) to understand context and generate natural responses.
They don't look for exact matches - they understand the intent behind the question and formulate an appropriate response.
Advantages: - Understands context and nuances - Generates natural responses - Handles objections - Adapts to each conversation - Learns from your data
Disadvantages: - More complex initial setup - Requires training on your data - Higher cost (but higher ROI)